Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
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@@ -6,12 +6,22 @@ import random
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from PIL import Image
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from diffusers import FluxKontextPipeline
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from diffusers.utils import load_image
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MAX_SEED = np.iinfo(np.int32).max
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pipe = FluxKontextPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", torch_dtype=torch.bfloat16).to("cuda")
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@spaces.GPU
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def infer(input_image, prompt, seed=42, randomize_seed=False, guidance_scale=2.5, steps=28, progress=gr.Progress(track_tqdm=True)):
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"""
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@@ -130,7 +140,7 @@ Image editing and manipulation model guidance-distilled from FLUX.1 Kontext [pro
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label="Steps",
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minimum=1,
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maximum=30,
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value=
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step=1
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)
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from PIL import Image
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from diffusers import FluxKontextPipeline
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from diffusers.models import FluxTransformer2DModel
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from diffusers.utils import load_image
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MAX_SEED = np.iinfo(np.int32).max
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pipe = FluxKontextPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", torch_dtype=torch.bfloat16).to("cuda")
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# New Here
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turbo = FluxTransformer2DModel.from_pretrained(
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"Yuanshi/FLUX.1-Kontext-Turbo", subfolder="transformer", torch_dtype=torch.bfloat16
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).to("cuda")
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pipe.transformer = turbo
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print("Model dev loaded.")
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@spaces.GPU
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def infer(input_image, prompt, seed=42, randomize_seed=False, guidance_scale=2.5, steps=28, progress=gr.Progress(track_tqdm=True)):
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"""
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label="Steps",
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minimum=1,
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maximum=30,
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value=8,
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step=1
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)
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